| On-the-fly active learning of interpretable Bayesian force fields for atomistic rare events J Vandermause, SB Torrisi, S Batzner, Y Xie, L Sun, AM Kolpak, ... npj Computational Materials 6 (1), 20, 2020 | 342 | 2020 |
| Relaxation and domain formation in incommensurate two-dimensional heterostructures S Carr, D Massatt, SB Torrisi, P Cazeaux, M Luskin, E Kaxiras Physical Review B 98 (22), 224102, 2018 | 291 | 2018 |
| Random forest machine learning models for interpretable X-ray absorption near-edge structure spectrum-property relationships SB Torrisi, MR Carbone, BA Rohr, JH Montoya, Y Ha, J Yano, SK Suram, ... npj Computational Materials 6 (1), 109, 2020 | 133 | 2020 |
| Data-driven studies of magnetic two-dimensional materials TD Rhone, W Chen, S Desai, SB Torrisi, DT Larson, A Yacoby, E Kaxiras Scientific reports 10 (1), 15795, 2020 | 67 | 2020 |
| Decoding reactive structures in dilute alloy catalysts N Marcella, JS Lim, AM Płonka, G Yan, CJ Owen, JES van der Hoeven, ... Nature communications 13 (1), 832, 2022 | 55 | 2022 |
| Electronic structure calculations of twisted multi-layer graphene superlattices GA Tritsaris, S Carr, Z Zhu, Y Xie, SB Torrisi, J Tang, M Mattheakis, ... 2D Materials 7 (3), 035028, 2020 | 45 | 2020 |
| Toward autonomous materials research: Recent progress and future challenges JH Montoya, M Aykol, A Anapolsky, CB Gopal, PK Herring, ... Applied Physics Reviews 9 (1), 2022 | 39 | 2022 |
| New challenges in oxygen reduction catalysis: a consortium retrospective to inform future research MB Stevens, M Anand, ME Kreider, EK Price, JZ Zeledón, L Wang, J Peng, ... Energy & Environmental Science 15 (9), 3775-3794, 2022 | 30 | 2022 |
| Agents for sequential learning using multiple-fidelity data A Palizhati, SB Torrisi, M Aykol, SK Suram, JS Hummelshøj, JH Montoya Scientific reports 12 (1), 4694, 2022 | 25 | 2022 |
| Two-dimensional forms of robust CO2 reduction photocatalysts SB Torrisi, AK Singh, JH Montoya, T Biswas, KA Persson npj 2D Materials and Applications 4 (1), 24, 2020 | 25 | 2020 |
| Perpendicular laser cooling with a rotating-wall potential in a Penning trap SB Torrisi, JW Britton, JG Bohnet, JJ Bollinger Physical Review A 93 (4), 043421, 2016 | 17 | 2016 |
| Complexity of many-body interactions in transition metals via machine-learned force fields from the TM23 data set CJ Owen, SB Torrisi, Y Xie, S Batzner, K Bystrom, J Coulter, A Musaelian, ... npj Computational Materials 10 (1), 92, 2024 | 15 | 2024 |
| Oxygen vacancy formation energy in metal oxides: High-throughput computational studies and machine-learning predictions B Baldassarri, J He, A Gopakumar, S Griesemer, AJA Salgado-Casanova, ... Chemistry of Materials 35 (24), 10619-10634, 2023 | 11 | 2023 |
| Random sub-diffusion and capture of genes by the nuclear pore reduces dynamics and coordinates inter-chromosomal movement MC Sumner, SB Torrisi, DG Brickner, JH Brickner Elife 10, e66238, 2021 | 11 | 2021 |
| System code analysis of HELIAS-Type fusion reactor and economic comparison with tokamaks F Warmer, SB Torrisi, CD Beidler, A Dinklage, Y Feng, J Geiger, ... IEEE Transactions on Plasma Science 44 (9), 1576-1585, 2016 | 11* | 2016 |
| Early prediction of ion transport properties in solid polymer electrolytes using machine learning and system behavior-based descriptors of molecular dynamics simulations A Khajeh, D Schweigert, SB Torrisi, L Hung, BD Storey, HK Kwon Macromolecules 56 (13), 4787-4799, 2023 | 9 | 2023 |
| Materials cartography: A forward-looking perspective on materials representation and devising better maps SB Torrisi, MZ Bazant, AE Cohen, MG Cho, JS Hummelshøj, L Hung, ... APL Machine Learning 1 (2), 2023 | 9 | 2023 |
| How the AI-assisted discovery and synthesis of a ternary oxide highlights capability gaps in materials science JH Montoya, C Grimley, M Aykol, C Ophus, H Sternlicht, BH Savitzky, ... Chemical Science 15 (15), 5660-5673, 2024 | 8* | 2024 |
| Effects of structural distortions on the electronic structure of -type transition metal dichalcogenides DT Larson, W Chen, SB Torrisi, J Coulter, S Fang, E Kaxiras Physical Review B 102 (4), 045128, 2020 | 6 | 2020 |
| Data-driven analysis of battery formation reveals the role of electrode utilization in extending cycle life X Cui, SD Kang, S Wang, JA Rose, H Lian, A Geslin, SB Torrisi, ... Joule 8 (11), 3072-3087, 2024 | 4 | 2024 |
Joseph MontoyaToyota Research InstituteVerified email at tri.global